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ICDE
2009
IEEE
140views Database» more  ICDE 2009»
14 years 9 months ago
Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...
Archana Ganapathi, Harumi A. Kuno, Umeshwar Dayal,...
SIGMOD
2001
ACM
108views Database» more  SIGMOD 2001»
14 years 8 months ago
PREFER: A System for the Efficient Execution of Multi-parametric Ranked Queries
Users often need to optimize the selection of objects by appropriately weighting the importance of multiple object attributes. Such optimization problems appear often in operation...
Vagelis Hristidis, Nick Koudas, Yannis Papakonstan...
CF
2007
ACM
14 years 2 days ago
Parallel genomic sequence-search on a massively parallel system
In the life sciences, genomic databases for sequence search have been growing exponentially in size. As a result, faster sequencesearch algorithms to search these databases contin...
Oystein Thorsen, Brian E. Smith, Carlos P. Sosa, K...
SSD
1999
Springer
106views Database» more  SSD 1999»
14 years 10 days ago
XZ-Ordering: A Space-Filling Curve for Objects with Spatial Extension
There is an increasing need to integrate spatial index structures into commercial database management systems. In geographic information systems (GIS), huge amounts of information ...
Christian Böhm, Gerald Klump, Hans-Peter Krie...
SIGMOD
2011
ACM
219views Database» more  SIGMOD 2011»
12 years 11 months ago
Context-sensitive ranking for document retrieval
We study the problem of context-sensitive ranking for document retrieval, where a context is defined as a sub-collection of documents, and is specified by queries provided by do...
Liang Jeff Chen, Yannis Papakonstantinou